Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C6164B1550014A6A24B8EE3F462A339A06EC31EC60B49C87AFDE3969FC7C16C821354 |
|
CONTENT
ssdeep
|
48:54GgGfixQxrsnPnYbA+cfLYevaLN0xe6WpJBFu:S7IiaxiPyofLYevax00bpJPu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a2870ca7378dedc |
|
VISUAL
aHash
|
01083c3c3c3c3c00 |
|
VISUAL
dHash
|
9ff8f0f9e9e9e094 |
|
VISUAL
wHash
|
011c3c3e3e3f3f03 |
|
VISUAL
colorHash
|
00001000188 |
|
VISUAL
cropResistant
|
9ff8f0f9e9e9e094 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 264 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.